Senior Data Analyst
2 weeks ago
About Amazon Worldwide Advertising
Amazon Worldwide Advertising is one of the fastest growing and most profitable businesses at Amazon. Our Partner Experience and Growth (PEG) team leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers.
The Science charter in PEG spearheads these efforts by optimizing the onboarding journey and providing data-driven insights to agencies and tool providers in the Amazon Ads ecosystem. With proprietary tools, we provide granular visibility into what's working across audiences, creatives, targeting strategies, and more.
Our custom algorithmic recommendations uncover growth opportunities previously hidden in the data fog. This enables partners to confidently allocate budgets based on predicted performance, unlocking improved return on ad spend.
This results in advertisers reaping benefits through expanded brand awareness, increased sales, and stronger customer loyalty over time.
Key Job Responsibilities
You will participate in driving features from idea to deployment, directly impacting millions of customers.
You are going to love this job because you will:
- Map business requirements and customer needs to a scientific problem.
- Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.
- Research, design and implement scalable machine learning (ML), natural language, or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion.
- Mentor and develop junior scientists and developers who work on science problems in the same organization.
- Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations on proposed solutions and their potential impact.
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